N. Guarino, Formal Ontology in Information Systems. Amsterdam, The Netherlands: IOS Press, 1998.
P. F. Patel-Schneider and I. Horrocks, A comparison of two modelling paradigms in the Semantic Web, J. Web Semant., vol. 5, no. 4, pp. 240–250, 2007.
O. Etzioni, K. Golden, and D. S. Weld, Sound and efficient closed-world reasoning for planning, Artif. Intell., vol. 89, no. 1&2, pp. 113–148, 1997.
I. Seylan, E. Franconi, and J. De Bruijn, Effective query rewriting with ontologies over DBoxes, in Proc. 21st Int. Joint Conf. on Artificial Intelligence, Pasadena, CA, USA, 2009, pp. 923–929.
T. R. Rao, P. Mitra, R. Bhatt, and A. Goswami, The big data system, components, tools, and technologies: A survey, Knowl. Inf. Syst., vol. 60, no. 3, pp. 1165–1245, 2019.
A. Davoudian and M. C. Liu, Big data systems: A software engineering perspective, ACM Comput. Surv., vol. 53, no. 5, p. 110, 2020.
S. Banerjee, R. Shaw, A. Sarkar, and N. C. Debnath, Towards logical level design of big data, in Proc. of 2015 IEEE 13th Int. Conf. on Industrial Informatics, Cambridge, UK, 2015, pp. 1665–1671.
A. Hoppe, C. Nicolle, and A. Roxin, Automatic ontology-based user profile learning from heterogeneous web resources in a big data context, Proc. VLDB Endow., vol. 6, no. 12, pp. 1428–1433, 2013.
A. Soylu, M. Giese, E. Jimenez-Ruiz, E. Kharlamov, D. Zheleznyakov, and I. Horrocks, OptiqueVQS: Towards an ontology-based visual query system for big data, in Proc. 5th Int. Conf. on Management of Emergent Digital EcoSystems, Neumünster Abbey, Luxembourg, 2013, pp. 119–126.
C. Jayapandian, C. H. Chen, A. Dabir, S. Lhatoo, G. Q. Zhang, and S. S. Sahoo, Domain ontology as conceptual model for big data management: Application in biomedical informatics, in Proc. of the 33rd Int. Conf. on Conceptual Modeling, Atlanta, GA, USA, 2014, pp. 144–157.
T. Shah, F. Rabhi, and P. Ray, Investigating an ontology-based approach for Big Data analysis of inter-dependent medical and oral health conditions, Cluster Comput., vol. 18, no. 1, pp. 351–367, 2015.
J. P. C. Verhoosel and J. Spek, Applying ontologies in the dairy farming domain for big data analysis, in Proc. 3rd Stream Reasoning (SR 2016) and the 1st Semantic Web Technologies for the Internet of Things (SWIT 2016) Workshops Co-located with 15thInt. Semantic Web Conf. (ISWC 2016), Kobe, Japan, 2016, pp. 91–100.
A. R. Kim, H. A. Park, and T. M. Song, Development and evaluation of an obesity ontology for social big data analysis, Healthc. Inform. Res., vol. 23, no. 3, pp. 159–168, 2017.
H. Abbes and F. Gargouri, MongoDB-based modular ontology building for big data integration, J. Data Semant., vol. 7, no. 1, pp. 1–27, 2018.
L. S. Globa, R. L. Novogrudska, and A. V. Koval, Ontology model of telecom operator big data, in Proc. of 2018 IEEE Int. Black Sea Conf. on Communications and Networking, Batumi, GA, USA, 2018, pp. 1–5.
P. Wongthongtham and B. A. Salih, Ontology-based approach for identifying the credibility domain in social Big Data, J. Organ. Comput. Electron. Commer, vol. 28, no. 4, pp. 354–377, 2018.
S. Nadal, O. Romero, A. Abelló, P. Vassiliadis, and S. Vansummeren, An integration-oriented ontology to govern evolution in Big Data ecosystems, Inform. Syst., vol. 79, pp. 3–19, 2019.
P. S. Rani, R. M. Suresh, and R. Sethukarasi, Multi-level semantic annotation and unified data integration using semantic web ontology in big data processing, Cluster Comput., vol. 22, no. 5, pp. 10401–10413, 2019.
D. Djebouri and N. Keskes, Exploitation of ontological approaches in Big Data: A State of the Art, in Proc. 10th Int. Conf. on Information Systems and Technologies, Lecce, Italy, 2020, p. 45.
M. Y. Aghdam, S. R. K. Tabbakh, S. J. M. Chabok, and M. Kheyrabadi, Ontology generation for flight safety messages in air traffic management, J. Big Data, vol. 8, no. 1, p. 61, 2021.
S. Mhammedi, H. El Massari, and N. Gherabi, Cb2Onto: OWL ontology learning approach from couchbase, in Intelligent Systems in Big Data, Semantic Web and Machine Learning, N. Gherabi and J. Kacprzyk, eds. Cham, Germany: Springer, 2021, pp. 95–110.
I. Mountasser, B. Ouhbi, F. Hdioud, and B. Frikh, Semantic-based Big Data integration framework using scalable distributed ontology matching strategy, Distrib. Parallel Dat., vol. 39, no. 4, pp. 891–937, 2021.
F. Pezoa, J. L. Reutter, F. Suarez, M. Ugarte, and D. Vrgoc, Foundations of JSON Schema, in Proc. 25th Int. Conf. on World Wide Web, Montreal, Canada, 2016, pp. 263–273.
L. Attouche, M. A. Baazizi, D. Colazzo, F. Falleni, G. Ghelli, C. Landi, C. Sartiani, and S. Scherzinger, A tool for JSON schema witness generation, in Proc. 24th Int. Conf. on Extending Database Technology, Nicosia, Cyprus, 2021, pp. 694–697.
S. Brahmia, Z. Brahmia, F. Grandi, and R. Bouaziz, τJSchema: A framework for managing temporal JSON-Based NoSQL databases, in Proc. of the 27th Int. Conf. on Database and Expert Systems Applications, Porto, Portugal, 2016, pp. 167–181.
S. Brahmia, Z. Brahmia, F. Grandi, and R. Bouaziz, A disciplined approach to temporal evolution and versioning support in JSON data stores, in Emerging Technologies and Applications in Data Processing and Management, Z. M. Ma and L. Yan, eds. Hershey, PA, USA: IGI Global, 2019, pp. 114–133.
A. Zekri, Z. Brahmia, F. Grandi, and R. Bouaziz, τOWL: A framework for managing temporal semantic web documents, in Proc. of the 8th Int. Conf. on Advances in Semantic Processing, Rome, Italy, 2014, pp. 33–41.
A. Zekri, Z. Brahmia, F. Grandi, and R. Bouaziz, τOWL: A systematic approach to temporal versioning of semantic web ontologies, J. Data Semant., vol. 5, no. 3, pp. 141–163, 2016.
M. J. O’Connor and A. K. Das, A lightweight model for representing and reasoning with temporal information in biomedical ontologies, in Proc. 3rdInt. Conf. on Health Informatics, Valencia, Spain, 2010, pp. 90–97.
V. Milea, F. Frasincar, and U. Kaymak, tOWL: A temporal web ontology language, IEEE Trans. Syst. Man Cybern. B Cybern., vol. 42, no. 1, pp. 268–281, 2012.
E. Anagnostopoulos, S. Batsakis, and E. G. M. Petrakis, CHRONOS: A reasoning engine for qualitative temporal information in OWL, in Proc. of the 17th Int. Conf. in Knowledge Based and Intelligent Information and Engineering Systems, Kitakyushu, Japan, 2013, pp. 70–77.
S. Batsakis, E. G. M. Petrakis, I. Tachmazidis, and G. Antoniou, Temporal representation and reasoning in OWL 2, Semant. Web, vol. 8, no. 6, pp. 981–1000, 2017.
F. Ghorbel, F. Hamdi, E. Métais, N. Ellouze, and F. Gargouri, Ontology-based representation and reasoning about precise and imprecise temporal data: A fuzzy-based view, Data Knowl. Eng., vol. 124, p. 101719, 2019.
Z. Brahmia, S. Brahmia, F. Grandi, and R. Bouaziz, Implicit JSON schema versioning driven by big data evolution in the τJSchema framework, in Proc. of Int. Conf. on Big Data and Networks Technologies, Leuven, Belgium, 2019, pp. 23–35.
Z. Brahmia, S. Brahmia, F. Grandi, and R. Bouaziz, Implicit JSON schema versioning triggered by temporal updates to JSON-based Big Data in the τJSchema framework, in Proc. 5th Int. Conf. on Big Data and Internet of Things, Rabat, Morocco, .
Z. Brahmia, F. Grandi, A. Zekri, and R. Bouaziz, Ontology versioning driven by instance evolution in the τOWL framework, J. Inf. Knowl. Manag., .
Y. Han, H. Kim, J. Song, and T. M. Song, Ontology development of school bullying for social big data collection and analysis, J. Korea Contents Assoc., vol. 19, no. 6, pp. 10–23, 2019.
M. Wischenbart, S. Mitsch, E. Kapsammer, A. Kusel, B. Pröll, W. Retschitzegger, W. Schwinger, J. Schönböck, M. Wimmer, and S. Lechner, User profile integration made easy: Model-driven extraction and transformation of social network schemas, in Proc. 21st Int. Conf. on World Wide Web, Lyon, France, 2012, pp. 939–948.
M. Wischenbart, S. Mitsch, E. Kapsammer, A. Kusel, S. Lechner, B. Pröll, W. Retschitzegger, J. Schönböck, W. Schwinger, and M. Wimmer, Automatic data transformation-breaching the walled gardens of social network platforms, in Proc. of the 9th Asia-Pacific Conf. on Conceptual Modelling, Adelaide, Australia, 2013, pp. 89–98.
H. Abbes, S. Boukettaya, and F. Gargouri, Learning ontology from Big Data through MongoDB database, in Proc. of the 2015 IEEE/ACS 12th Int. Conf. of Computer Systems and Applications, Marrakech, Morocco, 2015, pp. 1–7.
Y. G. Yao, R. P. Wu, and H. Liu, JTOWL: A JSON to OWL Converto, in Proc. 5th Int. Workshop on Web-scale Knowledge Representation Retrieval & Reasoning, Shanghai, China, 2014, pp. 13–14.
G. B. Moreira, V. M. Calegario, J. C. Duarte, and A. F. P. dos Santos, Extending the VERIS framework to an incident handling ontology, in Proc. of 2018 IEEE/WIC/ACM Int. Conf. on Web Intelligence, Santiago, Chile, 2018, pp. 440–445.
H. Cheong, Translating JSON Schema logics into OWL axioms for unified data validation on a digital manufacturing platform, Procedia Manuf., vol. 28, pp. 183–188, 2019.
M. Ganzha, M. Paprzycki, W. Pawlowski, P. Szmeja, K. Wasielewska, and C. E. Palau, From implicit semantics towards ontologies—practical considerations from the INTER-IoT perspective, in Proc. of the 14th IEEE Annual Consumer Communications & Networking Conf., Las Vegas, NV, USA, 2017, pp. 59–64.
J. L. Cánovas Izquierdo and J. Cabot, Discovering implicit schemas in JSON data, in Proc. of the 13th Int. Conf. on Web Engineering, Aalborg, Denmark, 2013, pp. 68–83.
M. Klettke, U. Störl, and S. Scherzinger, Schema extraction and structural outlier detection for JSON-based NoSQL Data stores, in Proc. of the Conf. Database Systems for Business, Technology and Web, Hamburg, Germany, 2015, pp. 425–444.
D. S. Ruiz, S. F. Morales, and J. G. Molina, Inferring versioned schemas from NoSQL databases and its applications, in Proc. of the 34th Int. Conf. on Conceptual Modeling, Stockholm, Sweden, 2015, pp. 467–480.
L. J. Wang, S. Zhang, J. W. Shi, L. M. Jiao, O. Hassanzadeh, J. Zou, and C. Wang, Schema management for document stores, Proc. VLDB Endow., vol. 8, no. 9, pp. 922–933, 2015.
M. A. Baazizi, H. B. Lahmar, D. Colazzo, G. Ghelli, and C. Sartiani, Schema inference for massive JSON datasets, in Proc. 20th Int. Conf. on Extending Database Technology, Venice, Italy, 2017, pp. 222–233.
I. Comyn-Wattiau and J. Akoka, Model driven reverse engineering of NoSQL property graph databases: The case of Neo4j, in Proc. of 2017 IEEE Int. Conf. on Big Data, Boston, MA, USA, 2017, pp. 453–458.
M. Hacherouf, S. N. Bahloul, and C. Cruz, Transforming XML documents to OWL ontologies: A survey, J. Inf. Sci., vol. 41, no. 2, pp. 242–259, 2015.
I. Bedini, C. Matheus, P. F. Patel-Schneider, A. Boran, and B. Nguyen, Transforming XML schema to OWL using patterns, in Proc. of the 2011 IEEE 5th Int. Conf. on Semantic Computing, Palo Alto, CA, USA, 2011, pp. 102–109.
M. Hacherouf and S. N. Bahloul, DTD2OWL2: A new approach for the transformation of the DTD to OWL, Procedia Comput. Sci., vol. 62, pp. 457–466, 2015.
A. Zekri, Z. Brahmia, F. Grandi, and R. Bouaziz, τOWL-Manager: A tool for managing temporal semantic web documents in the τOWL framework, in Proc. of the 9th Int. Conf. on Advances in Semantic Processing, Nice, France, 2015, pp. 56–64.
S. Jahangiri, Wisconsin benchmark data generator: To JSON and beyond, in Proc. 2021 Int. Conf. on Management of Data, Virtual Event, China, 2021, pp. 2887–2889.
R. Betík and I. Holubová, JBD generator: Towards semi-structured JSON big data, in Proc. of ADBIS 2016 Short Papers and Workshops, Prague, Czech Republic, 2016, pp. 54–62.